Optimal placement of wind turbines using NSC-PSO algorithm

摘要

The wind farm location optimization (WFLO) problem is an active area of research. This paper is investigating the suitability of the no speeds and coefficients particle swarm optimization (NSC-PSO) method for solving the WFLO problem. In order to prove the competitiveness of the NSC-PSO method, a simplified wake model is implemented, which is similar to the model used in the pioneering work of Grady et al. 2005, with the optimization objective to minimize the farm's installation cost while maximizing the energy output. The results obtained using NSC-PSO are superior and more intuitive when compared with the results reported by Grady et al. using Genetic Algorithms.